Engineering Manager, Compute Optimization

Zoox

Foster City, CA, United States
On-site
Software performance engineering
Compute hardware architecture optimization
Autonomous vehicle software runtime
Zoox is seeking an Engineering Manager for their Compute Optimization team, responsible for enhancing the efficiency of their self-driving software by optimizing compute hardware and algorithms. The role requires leadership of a specialized team to ensure optimal performance and safety of on-bot software

Job Summary

  • The role involves leading a specialized team of software performance engineers to aggressively optimize on-bot software runtime for self-driving vehicles.
  • This position sits at the intersection of ML Platform, Core, and Autonomy Software to ensure efficient compute utilization is central to the organization.
  • The team ensures the PCU remains healthy and performant to meet strict latency targets and safety goals for autonomy software.

Matching Summary

Match Score: 85

Zoox is seeking an Engineering Manager for their Compute Optimization team, responsible for enhancing the efficiency of their self-driving software by optimizing compute hardware and algorithms. The role requires leadership of a specialized team to ensure optimal performance and safety of on-bot software.

Skills & Requirements

Must-have

  • Software Performance Engineering
  • Compute Hardware Architecture Optimization
  • Autonomous Vehicle Software Runtime
  • Latency Target Achievement
  • Power Level Optimization

Nice-to-have

  • ML Platform Experience
  • Core Autonomy Software Knowledge
  • Cross-functional Team Leadership
  • High Impact Role Environment

Key Requirements

  • Leadership experience in software performance engineering
  • Expertise in fine-tuning compute hardware architecture
  • Experience with algorithm and middleware optimization

Work Rights

Not specified

Tailored Resume

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